code: def sample(self) -> Iterator[Tuple[Any, Any]]:
      buffer, is_full = [], False
      for sample in self:
          buffer.append(sample)
          if is_full:
              i = np.random.randint(len(buffer))
              yield buffer.pop(i)
          elif len(buffer) == self.buffer_size:
              is_full = True
      while buffer:
          i = np.random.randint(len(buffer))
          yield buffer.pop(i)
  
imports: from abc import ABC
  from typing import Iterable, Iterator, TYPE_CHECKING
  from typing import List, Any, Tuple
  import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling the ABCGenerator obj's underlying member method code with example usage: obj.sample() without return types